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programme No Joint degree / double degree programme No Description/content The PhD programme in Geography is based on the research focus "Resources and Sustainability". The research focuses on the interface
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Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the
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meet the requirements for admission to the NV faculty's Doctoral Programme https://www.ntnu.edu/nv/phd Competence in programming (e.g. Python or similar). Good oral and written presentation skills in
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30 Jan 2026 Job Information Organisation/Company CNRS Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Apr
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Hours per Week Location: Belval Campus Internal Title: Doctoral Researcher Job Reference: UOL08037 The yearly gross salary for every PhD at the UL is EUR 41976 (full time). Where to apply Website https
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Max Planck Institute of Molecular Plant Physiology • | Potsdam, Brandenburg | Germany | about 20 hours ago
Science is given on our website . Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The International Max Planck
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this framework, we are looking for a motivated PhD researcher who will work across KU Leuven and the University of Essex, at the interface of urban ecology, remote sensing, environmental epidemiology and data
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temporal scales from seconds to hours and beyond. The aim of this PhD project is to build a multi-scale model linking molecular renewal to functional properties of synapses to study the relationship between
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research